文章摘要
朱 勇.西南民族地区乡村旅游重点村空间分布特征及影响因素研究[J].林业调查规划,2023,48(2):160-166
西南民族地区乡村旅游重点村空间分布特征及影响因素研究
Spatial Distribution Characteristics and Influencing Factors of Key Rural Tourism Villages in Southwestern Ethnic Regions
  
DOI：
中文关键词: 乡村旅游重点村  空间分布特征  凝聚型分布  集聚分布  核密度值  西南民族地区
英文关键词: key rural tourism villages  spatial distribution characteristics  cohesively distributed  agglomerated distribution  nuclear density value  southwestern ethnic regions
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作者单位
朱 勇 云南师范大学 地理学部,云南 昆明 650500 
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中文摘要:
      以西南民族地区171个乡村旅游重点村为研究对象，综合运用ArcGIS空间分析、最邻近指数、地理集中指数、核密度分析、地理联系率等统计方法对乡村旅游重点村的空间分布特征及影响因素进行探析。结果表明，研究区乡村旅游重点村的最邻近指数为0.789，表明其在空间上呈凝聚型分布；研究区乡村旅游重点村的地理集中指数G=44.90，大于理想状态分布下的地理集中指数34.2，表明其在空间上呈集聚分布，但集聚度不高；研究区乡村旅游重点村的分布密度呈多核心特征，高核密度值地区有成都市、渝东南地区、渝西南地区、六盘水市、黔南布依族苗族自治州，其中成都市的核密度值最高；研究区乡村旅游重点村的分布受到地形、河流湖泊、资源禀赋、人口分布、经济发展水平、交通分布等因素的影响。
英文摘要:
      Taking 171 key rural tourism villages in the southwestern ethnic regions as the research object, this paper comprehensively used ArcGIS spatial analysis, nearest neighbor index, geographic concentration index, nuclear density analysis, geographic connection rate and other statistical methods to analyze the spatial distribution characteristics and influencing factors of key rural tourism villages. The results showed that the nearest neighbor index of the key rural tourism villages in the study area was 0.789, indicating that the villages were spatially cohesively distributed; the geographic concentration index G=44.90, which was greater than the geographic concentration index of 34.2 under the ideal distribution, indicating that the villages were spatially agglomerated, but the degree of agglomeration was not high; the distribution density of key rural tourism villages in the study area showed a multi-core feature, the high density value areas were Chengdu City, Southeast Chongqing, Southwest Chongqing, Liupanshui City, Qiannan Buyi and Miao Autonomous Prefecture, among which Chengdu had the highest nuclear density value; the distribution of key rural tourism villages in the study area was affected by factors such as topography, rivers and lakes, resource endowments, population distribution, economic development level, and transportation distribution.
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